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DBMS > Derby vs. eXtremeDB vs. GeoSpock vs. PlanetScale

System Properties Comparison Derby vs. eXtremeDB vs. GeoSpock vs. PlanetScale

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Editorial information provided by DB-Engines
NameDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonPlanetScale  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Natively in-memory DBMS with options for persistency, high-availability and clusteringSpatial and temporal data processing engine for extreme data scaleScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websitedb.apache.org/­derbywww.mcobject.comgeospock.complanetscale.com
Technical documentationdb.apache.org/­derby/­manuals/­index.htmlwww.mcobject.com/­docs/­extremedb.htmplanetscale.com/­docs
DeveloperApache Software FoundationMcObjectGeoSpockPlanetScale
Initial release199720012020
Current release10.17.1.0, November 20238.2, 20212.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java, JavascriptGo
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedDocker
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesno infosupport of XML interfaces availableno
Secondary indexesyesyestemporal, categoricalyes
SQL infoSupport of SQLyesyes infowith the option: eXtremeSQLANSI SQL for query only (using Presto)yes infowith proprietary extensions
APIs and other access methodsJDBC.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBCADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJava.Net
C
C#
C++
Java
Lua
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJava Stored Proceduresyesnoyes infoproprietary syntax
Triggersyesyes infoby defining eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tableUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBeXtremeDBGeoSpockPlanetScale
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBeXtremeDBGeoSpockPlanetScale
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